A toolkit to optimize ML models for deployment for Keras & TensorFlow
Statistical library designed to fill the void in Python's time series
Natural Gradient Boosting for Probabilistic Prediction
Gaussian processes in TensorFlow
A curated list of data mining papers about fraud detection
A lightweight vision library for performing large object detection
A Python and R autograding solution
Run AI models end-to-end encrypted
NumPy aware dynamic Python compiler using LLVM
A self-hosted open source photo management service
A unified interface for distributed computing
A Hyperparameter Tuning Library for Keras
Decentralized deep learning in PyTorch. Built to train models
Multi-class confusion matrix library in Python
Probabilistic reasoning and statistical analysis in TensorFlow
Graph Neural Network Library for PyTorch
Geometric deep learning extension library for PyTorch
Deep learning driven jazz generation using Keras & Theano
Time series Timeseries Deep Learning Machine Learning Pytorch fastai
Streamline your ML workflow
Models and examples built with TensorFlow
FAIR Chemistry's library of machine learning methods for chemistry
The agent that grows with you
Deep learning optimization library making distributed training easy
Nerlnet is a framework for research and development